• Bond University, Bond Business School

    4229 Gold Coast

    Australia

  • 550 Citations
  • 11 h-Index
1980 …2019
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Personal profile

Research interests

I obtained my PhD in Statistics from the University of Kent, Canterbury. I taught at the Indian Institute of Management and National University of Singapore before joining Bond University in 1993. I am a Fellow of the Royal Statistical Society, a Chartered Statistician and recently awarded Chartered Scientist by Science Council.

My basic research interest is in the area of modelling and forecasting time series data. However, my current research interest is in the area of bankruptcy prediction, financial fraud detection and breast cancer detection, using cutting edge recursive partitioning techniques. We have developed some hybrid models which could be helpful in early fraud detection, financial distress prediction, breast cancer detection and many similar areas. We are also working on a Surf Life Saving Project (with my co-researchers) to develop a surf hazard rating index which could be helpful to the referees in surfing competitions.

I also have some interest in the area of forensic accounting, where we are trying to develop a model for empirically 'scoring' the susceptibility of Australian organizations to occupational fraud, based on the fraud triangle vertices. In this connection, we have also published papers in the area of Benford Law to detect financial fraud.

One of my PhD students is working in the area of developing models to detect financial statement fraud.

I have also some research interest in the area of higher education and ethical issues.

Statement for HDR students

My current research interest is in the area of recursive partition techniques. These techniques can be applied in many research areas, ranging from bankruptcy prediction, financial fraud detection to breast cancer detection. I am also interested in econometric modelling and forecasting.

Currently one of my PhD students is working in the area of developing models to detect financial statement fraud. My other student is working in the area of developing Surf Safety Hazard Index for Surfing competitions.

Earlier I have supervised PhD students in the area of "Role of Artificial Neural Network and Statistical Techniques in Breast Cancer Detection" and "Utility, Rationality and Beyond - From Behavioural Finance to Informational Finance".

Education/Academic qualification

Economics, PhD, University of Kent

19831986

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Mammography Engineering & Materials Science
Classifiers Engineering & Materials Science
Industry Engineering & Materials Science
Neural networks Engineering & Materials Science
Feature extraction Engineering & Materials Science
Time series analysis Engineering & Materials Science
Genetic algorithms Engineering & Materials Science
Time series Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1980 2019

Can economic sanctions lead to fraud? Nations might turn to virtual currencies if slapped with restrictions

Tiwari, M., Gepp, A. & Kumar, K., May 2019, In : Fraud Magazine. 34, 3

Research output: Contribution to journalMagazine ArticleResearch

Open Access
File
economic sanction
fraud
currency
money laundering
terrorism

Credit Rating Forecasting Using Machine Learning Techniques

Wallis, M., Kumar, K. & Gepp, A., Feb 2019, Managerial Perspectives on Intelligent Big Data Analytics. Sun, Z. (ed.). IGI Global, p. 180-198 19 p.

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Credit rating
Machine learning
Rating
Comparative analysis
Managers

Big Data and Social Sciences: a Practical Guide to Methods and Tools

Kumar, K., Jun 2018, In : Journal of the Royal Statistical Society. Series A: Statistics in Society. 181, 3, p. 916 1 p.

Research output: Contribution to journalBook/Film/Article reviewResearch

Business Distress Prediction Using Bayesian Logistic Model for Indian Firms

Shrivastava, A., Kumar, K. & Kumar, N., 9 Oct 2018, In : Risks. 6, 4, 15 p., 113.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Distress
Logistic model
Prediction
Business sector
Bayesian modeling

Cancer diagnostic method and system

Zhang, P. & Kumar, K., 3 Jul 2018, Patent No. US 10,013,638

Research output: PatentResearch

Open Access
Tissue
Feature extraction
Neural networks

Activities 2013 2018

  • 8 Invited talk

Statistics and Big Data: Opportunities and Challenges

Kuldeep Kumar (Keynote speaker)
4 Sep 2018

Activity: Talk or presentationInvited talk

Major Events over Stock Market in 2017 and Invisible Walls

Kuldeep Kumar (Keynote speaker)
27 Oct 2017

Activity: Talk or presentationInvited talk

Fraud, Corruption and Bribery: How to prevent and how to detect?”

Kuldeep Kumar (Keynote speaker)
22 Aug 2014

Activity: Talk or presentationInvited talk

Fraud, Corruption and Bribery: How to prevent and how to detect.

Kuldeep Kumar (Keynote speaker)
22 Dec 2017

Activity: Talk or presentationInvited talk

Innovative Advances and Challenges in Management Education

Kuldeep Kumar (Keynote speaker)
18 Dec 2014

Activity: Talk or presentationInvited talk

Student theses

Financial statement fraud detection using supervised learning methods

Author: Gepp, A., 10 Oct 2015

Supervisor: Kumar, K. (Supervisor) & Bhattacharya, S. (External person) (Supervisor)

Student thesis: Doctoral Thesis

File

Geopolitics of foreign aid: Evidence from South Asian economies.

Author: Ali Abbas, S., 11 Feb 2017

Supervisor: Campbell, N. (Supervisor) & Kumar, K. (Supervisor)

Student thesis: Master's Thesis

File

Utility, Rationality and Beyond: from Behavioral Finance to Informational Finance.

Author: Bhattacharya, S., 5 Jun 2004

Supervisor: Kumar, K. (Supervisor)

Student thesis: Doctoral Thesis

File